Jake Diekman

P New York Mets

Age 40 LHP 6'4" / 195 lbs MLB peak 0.1 · 2027

Overview

MLBRP

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR
2022	35	MLBCWS	70	58	4.99	4.47	29.4%	14.9%	0.1
2023	36	MLBTB	63	57	3.34	3.49	26.3%	15.2%	0.7
2024	37	MLBNYM	43	32	5.62	5.69	27.6%	16.6%	-0.4
2027PROJ	40	MLBNYM	42	44	4.41	4.42	24.6%	10.3%	0.1
2028PROJ	41	MLBNYM	35	37	4.68	4.86	23.4%	11.0%	-0.1

Last 3 seasons WAR 0.3 · Next 2 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

K%79

Whiff%72

FB Velo52

xwOBA vs20

CompsJuan Antonio Pena (age 41) · Keiichi Yabu (age 39) · Gaudencio Aguirre (age 42)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 101109vR 117

ERA4.41

FIP4.42

K%24.6%

BB%10.3%

K-BB%14.3%

Proj IP44

Value2027 · WAR

Runs saved vs league avg · 44 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL2020

CMD4040

K†6060

Statcast Percentiles

FB Velo

p5294.7

Whiff%

p7228.7%

p7927.6%

xwOBA vs

p200.348

SL (29%)

FB-2.9 (61%)

CH-3.6 (10%)

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2012	25	MLB MLE	Philadelphia Phillies	32	0	27	131	35	17	1	0%	0.9	26.7%	13.0%	13.7%	0.7%	3.95	2.88	+0.5
2012	25	MLB RAW	Philadelphia Phillies	32	0	27	131	35	17	1	0%	0.9	26.7%	13.0%	13.7%	0.8%	3.95	2.88	+0.5
2013	26	MLB MLE	Philadelphia Phillies	45	0	38	164	41	14	1	0%	0.9	25.0%	8.5%	16.5%	0.6%	2.58	2.38	+1.0
2013	26	MLB RAW	Philadelphia Phillies	45	0	38	164	41	14	1	0%	0.9	25.0%	8.5%	16.5%	0.6%	2.58	2.40	+1.0
2014	27	MLB MLE	Philadelphia Phillies	73	0	71	313	100	30	4	0%	1.0	31.9%	9.6%	22.4%	1.2%	3.80	2.27	+1.9
2014	27	MLB RAW	Philadelphia Phillies	73	0	71	313	100	30	4	0%	1.0	31.9%	9.6%	22.4%	1.3%	3.80	2.28	+1.9
2015	28	MIX MLE	2 levels	73	0	65	286	76	32	5	0%	0.9	26.5%	11.9%	14.6%	1.8%	3.58	3.38	+0.9
2015	28	MIX RAW	2 levels	73	0	65	286	76	32	5	0%	0.9	26.6%	11.2%	15.4%	1.7%	3.58	3.24	+1.0
2016	29	MLB MLE	Texas Rangers	66	0	53	221	59	25	4	0%	0.8	26.7%	11.3%	15.4%	1.7%	3.40	3.23	+0.8
2016	29	MLB RAW	Texas Rangers	66	0	53	221	59	25	4	0%	0.8	26.7%	11.3%	15.4%	1.8%	3.40	3.27	+0.8
2017	30	MIX MLE	3 levels	17	1	17	67	21	9	1	6%	1.0	31.3%	13.4%	17.9%	1.5%	2.12	2.97	+0.3
2017	30	MIX RAW	3 levels	17	1	17	67	21	9	1	6%	1.0	31.3%	13.4%	17.9%	1.5%	2.12	2.98	+0.3
2018	31	MLB MLE	Arizona Diamondbacks	71	0	53	243	66	29	4	0%	0.8	27.2%	11.9%	15.2%	1.7%	4.72	3.27	+0.8
2018	31	MLB RAW	Arizona Diamondbacks	71	0	53	243	66	29	4	0%	0.8	27.2%	11.9%	15.2%	1.6%	4.72	3.23	+0.8
2019	32	MLB MLE	Oakland Athletics	76	0	62	282	84	38	3	0%	0.8	29.8%	13.5%	16.3%	1.2%	4.65	2.93	+1.2
2019	32	MLB RAW	Oakland Athletics	76	0	62	282	84	38	3	0%	0.8	29.8%	13.5%	16.3%	1.1%	4.65	2.86	+1.3
2020	33	MLB MLE	Oakland Athletics	21	0	21	84	31	11	1	0%	1.0	36.9%	13.1%	23.8%	1.3%	0.42	2.36	+0.6
2020	33	MLB RAW	Oakland Athletics	21	0	21	84	31	11	1	0%	1.0	36.9%	13.1%	23.8%	1.2%	0.42	2.35	+0.6
2021	34	MLB MLE	Oakland Athletics	67	0	61	262	83	32	10	0%	0.9	31.7%	12.2%	19.5%	4.2%	3.86	4.27	+0.2
2021	34	MLB RAW	Oakland Athletics	67	0	61	262	83	32	10	0%	0.9	31.7%	12.2%	19.5%	3.8%	3.86	4.09	+0.3
2022	35	MLB MLE	Chicago White Sox	70	0	58	269	79	40	9	0%	0.8	29.4%	14.9%	14.5%	3.3%	4.99	4.31	+0.2
2022	35	MLB RAW	Chicago White Sox	70	0	58	269	79	40	9	0%	0.8	29.4%	14.9%	14.5%	3.3%	4.99	4.47	+0.1
2023	36	MLB MLE	Tampa Bay Rays	63	0	57	243	64	37	3	0%	0.9	26.3%	15.2%	11.1%	1.3%	3.34	3.50	+0.7
2023	36	MLB RAW	Tampa Bay Rays	63	0	57	243	64	37	3	0%	0.9	26.3%	15.2%	11.1%	1.2%	3.34	3.49	+0.7
2024	37	MLB MLE	New York Mets	43	0	32	145	40	24	7	0%	0.7	27.6%	16.6%	11.0%	4.8%	5.62	5.52	-0.4
2024	37	MLB MLE	New York Mets	43	0	32	145	40	24	7	0%	0.7	27.6%	16.6%	11.0%	4.8%	5.62	5.52	-0.4
2024	37	MLB RAW	New York Mets	43	0	32	145	40	24	7	0%	0.7	27.6%	16.6%	11.0%	4.8%	5.62	5.69	-0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			705	0	602	2662	764	337	53	0%	0.9	28.7%	12.7%	16.0%	2.0%	3.91	3.39	+8.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	40	MLB	NYM	42	0	44	186	46	19	6	0%	1.0	24.6%	10.3%	14.3%	3.1%	4.41	4.42	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	41	MLB MLE	NYM	36	0	37	158	37	17	6	0%	1.0	23.4%	11.0%	12.4%	3.6%	4.68	4.86	-0.1
2028	41	MLB CTX	NYM	35	0	37	156	37	17	6	0%	1.1	23.4%	11.0%	12.4%	3.6%	4.68	4.86	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		741	0	640	2820	801	354	59	0%	0.9	28.4%	12.6%	15.8%	2.1%	3.96	3.43	+8.5
/ 200 IP	—	RAW		232	0	200	882	250	111	18	0%	0.9	28.4%	12.6%	15.8%	2.1%	3.96	3.43	+2.7
Career	—	MLE		717	1	616	2710	779	340	54	0%	0.9	28.7%	12.5%	16.2%	2.0%	3.84	3.36	+8.2
/ 200 IP	—	MLE		233	0	200	880	253	110	18	0%	0.9	28.7%	12.5%	16.2%	2.0%	3.84	3.36	+2.6

	Profile at Match Age	Next 3 Yrs	Career
Jake Diekman (OGILVIE)	—	—	4.42	24.6%	10.3%	3.1%	—	4.86	23.4%	12.4%	37	+0.44	—	—	—
Juan Antonio Pena L 2019 · 4.56 FIP	41	SW	4.56	13.7%	14.1%	1.5%	.313	—	—	—	—	—	4.20	149	40
Keiichi Yabu R 2008 · 3.48 FIP	39	SU	3.48	15.9%	9.3%	1.0%	.269	—	—	—	—	—	3.48	126	34
Gaudencio Aguirre R 2015 · 3.25 FIP	42	SU	3.25	14.8%	8.6%	0.6%	.293	3.88	14.9%	6.8%	75	+0.63	3.25	123	32
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	26

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	3.4	49	28.2%	13.1%	0.83	3.99
John Axford ('21)	2.6	58	25.6%	11.3%	0.86	3.90
Rudy Seanez ('08)	2.8	43	23.1%	11.4%	0.93	4.11
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Grant Balfour ('15)	2.7	54	25.5%	11.2%	0.78	3.49
Tippy Martinez ('74-'88, 9 WAR*)	4.2	76	27.7%*	12.0%*	0.77*	3.82*
Mark Littell ('73-'82, 7 WAR*)	2.7	66	30.7%*	13.4%*	0.74*	3.75*

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Jake Diekman (OGILVIE)	—	—	4.42	24.6%	10.3%	3.1%	—	4.86	23.4%	12.4%	37	+0.44	—	—	—
Juan Antonio Pena L 2019 · 4.56 FIP	41	SW	4.56	13.7%	14.1%	1.5%	.313	—	—	—	—	—	4.20	149	40
Keiichi Yabu R 2008 · 3.48 FIP	39	SU	3.48	15.9%	9.3%	1.0%	.269	—	—	—	—	—	3.48	126	34
Gaudencio Aguirre R 2015 · 3.25 FIP	42	SU	3.25	14.8%	8.6%	0.6%	.293	3.88	14.9%	6.8%	75	+0.63	3.25	123	32
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	26

Jake Diekman

Contract

Career Stats + Projections

Career Path Comps

Career Comps